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Cloud Data Engineering Course

What will I learn?

Step up your Business Intelligence game with our Cloud Data Engineering Course. Learn proper data cleaning and how to change data to the right format, including dealing with data wey no dey and fixing wrong data types. Dig deep into how to use cloud to show data with tools like Google Data Studio, Amazon QuickSight, and Power BI. Get to know cloud service providers like AWS, Google Cloud, and Microsoft Azure. Learn how to write about your projects well and check out how to process and keep data for cloud. Sign up now to change how you sabi data!

Apoia's Unique Features

Lifetime access to online courses
Certificate based on educational standards
Downloadable PDF summaries
24/7 online support available
Select and arrange the chapters you want to study
Customize your course workload
Instant feedback on practical activities
Study anytime, without needing internet access

Develop skills

Enhance the development of the practical skills listed below

Master data cleaning: Learn how to handle data wey no dey and fix wrong data types quick-quick.

Visualize data: Make data visuals wey make sense using Google Data Studio and Power BI.

Document projects: Learn the best way to write about your projects properly.

Navigate cloud services: Understand AWS, Google Cloud, and Microsoft Azure platforms dem.

Process data in cloud: Use Azure Data Factory, Google Dataflow, and AWS Glue.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can adjust the chapters and the workload.

  • Choose which chapter to begin with
  • Add or remove chapters
  • Adjust the course workload

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course focused on personal and professional growth. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.